Optimized WES-System with Image Bit Embedding for Enhancing the Security of Host Image

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 01 | Jan -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1032
Optimized WES-System with Image Bit Embedding for Enhancing the
Security of Host Image
Ravikant K1, Umesh Kumar Lilhore2
1MTech Scholar, Dept of Computer Science and Engineering, NIIST, Bhopal, MP, India
2 Associate Professor, Dept of Computer Science and Engineering, NIIST, Bhopal, MP, India
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Abstract - The protection of intellectual property rights of
users became recently a concern especially with the rapid
growth of different transmission techniques. In this
dissertation, we present a protection method which usessome
of the basic techniques for securing datainan imageandsome
other high end methods also. It is a visual cryptographic
method which uses watermarking, steganography and an
embedded image technique for optimizing the security of host
image sent through different transmission techniques. Our
methodology uses both image and text watermarking for
dismantle the contrast of image, than another image is
embedded as a carrier image for more enhancement of
security, this image is overlapped with the previous output
image. This complete process is taken place at client side and
the output of this image is send to the receiver over a
transmission medium. The receiver receives the image and
applies a set of techniques for extracting the input image and
the watermark text if required.
Key Words: Watermarking, Steganography, Visual
Cryptography, Embedding Image
1. INTRODUCTION
In the present digital trendsoftheworld,duetotheenhanced
versions of technologies most of the individuals prefer touse
the internet as the primary and major source medium to
transfer the information from one point to another point.
With the use of internet, data transmission is made very
simple and easy to use. Everyindividual in thisworldwantto
save their time for transmission of data from one place to
another. However security is the major concern while
sending and receiving data over the internet. Theprivateand
confidential data can be hacked by unwanted users in many
ways.
1.1 Watermarking
Image Watermarking is defined as one of the capable
method to eliminate the gap between copyright issues and
digital distribution of data between different users. It is
primarily based on Steganographic techniques and enables
constructive safety mechanisms for images. It is very good
standard forcopyright issuesas it embeds asymbol,alogoor
an image in the form ofaWatermark,whichcannotbealtered
manually by any unauthorized person. One major factor,
which is to be considered while using Watermarking, is to
prevent any alterations done to the original image after
embedding the data. When image with secret data is
transmitted over the internet, unauthorized elements may
want to interrupt and hack the data hidden behind the image
or want to change it. If the originality of the carrier imagehas
been altered, then it is easier to hack the information by
intruders. In order to advance the security, the Digital
Watermarks are predominantly inserted as altered digital
signal into the original data using key based embedding
algorithm and pseudo noise pattern. The best known and
commonly used Watermarking method is the spatial domain
Least Significant Bit (LSB), which replaces the least
significant bits of selected image to hide the information.
Figure 1: Watermarking Process
1.2 Steganography
Steganogaphy deals with hiding secret data or information
within an image. An efficient least significant bit (LSB)
technique has been proposed. A spatial domain technique
where the secret information which is to be sent is
embedded in the LSB position of the cover frames. Eight bits
of the secret information is divided into 3,3,2 parts and
embedded into the RGB pixel values of the cover frames. A
new function is used to select the position ofinsertioninLSB
bits. The proposed method is analyzed in terms of bothPeak
Signal to Noise Ratio (PSNR) compared to the original cover
image as well as the Mean Square Error (MSE) measured
between the original and obtained steganographic files.
Image Fidelity (IF) is also measured and the results show
minimal dreadful conditions of the steganographic image
file. The proposed technique is compared with existing LSB
method based steganography and the resultsarefoundto be
cheering. An estimate of the embedding capacity of the
technique in the test image file along with an application of
the proposed method has also been presented.
1.3 Information Hiding
Information hiding is a recently rapid developed technique
in the field of information security and has received
significant attention in all the fields. It contains two main
branches: digital watermarking and steganography. The
watermarking is mainly used for copyright protection of
products. While steganography, as a new way of conveying
data secretly by concealing the very existence of
communication [1]. The carrier for steganography method

can be image, text, audio and video.Image is the most
familiar carrier, but the limited size of image will
unavoidably restrict the capacity of embedding process. In
the case of requiring transmitting large number of secret
messages, steganography in image will not satisfy the high
demand. Besides, the degradation ofimagequalitycannot be
observed only by naked eyes, for it may be arousedbyimage
compression technique of lower quality.
2. THEORITICAL BACKGROUND
There are different types of systems and techniques are
implemented for securing the image and data transmission
from sender to receiver. Some of the major methods are
2.1 Steganography and its types
a. Fragile: This steganography involves embedding
information into a file which will be destroyed if the file is
modified by unauthorized user.
b. Robust: Robust marking projects to embed information
into a file which cannot easily be destroyed by the intruders.
2.2 Watermarking and its types
a. Image watermarking: In image watermarking techniques
the image is used as a envelope to hide the digital data. It is
used to protect the photos over the unsecured internet.
b. Video watermarking: In video watermarking the
watermark are added to the videosegmentstreamtocontrol
the video application. Video watermarking is the higher
extension of image watermarking techniques. This method
requires real time extraction and robustness for
compression of the video.
c. Audio watermarking: This application area is one of the
most popular and advance issue due to internetcomposition
of tunes such as MP3.
Text watermarking: This adds watermark to the text file to
check the modification made to text files.
d. Graphic watermarking: It addsthewatermark imageto 2D
or 3D computer generated graphics to specify the copyright.
3. LITERATURE REVIEW
Several steganographic methods have been proposed in the
past survey and most of which are performed in pixel
domain of the images. However major contribution is in the
field of domain of Image Steganography, where images are
used for watermarking, encryption andcoveringtheoriginal
image. The existing methods are mainly based on LSB
method where LSBs of the cover image file are directly
changed with message bits.
In [1], authors used watermarking techniqueto provideuser
authentication in an image by using different images with
different sizes.
In [2], authors proposed the encryption of image file using
RSA algorithm with quantum computing ideas.Afterthatthe
encrypted code is included in the cover image which is used
to carry the original image.Digital watermark schemeisvery
important to complete the authenticity of the sender.
In [3], authors proposed a research to increase the message
hiding capacity by introducing a newsteganographymethod
based on JPEG and quantization table is a continuous
process.
In [4], authors exploited the colour decomposition and
halftone technology to generate visual cryptogramsforboth
gray-level and colour images. This method can also be easily
applied to the schemes developed such as the t out of n
threshold scheme and the extended schemes for visual
cryptography.
In [5], authors developed a secret sharing visual
cryptography scheme of enveloping technique where the
secret information are enveloped within other covers
mediums of digital pictures using LSB replacement digital
watermarking. This adds security to visual cryptography
technique from unwanted attack as it befools the hackers’
eye.
In [6], authors proposed the extended visual cryptography
scheme for natural colour images. Next it showed a method
to improve the image quality of the obtained output by
enhancing the contrast of the image beyond the constraints.
The method enables the contrast enhancement byextending
the concept of error and by performing halftoning and
encryption simultaneously.
In [7] author has given a robust image steganography
technique based on the LSB insertion and RSA encryption
technique.
In [8], author has proposed a LSB technique for RGB true
color image by enhancing the existing LSB substitution
techniques to improve the security level of hidden
information.
4. PROBLEM IDENTIFICATION
The past systems were unable to provide high resistance to
the high intruder attacks, therefore a new system should me
developed inorder to resist these attacks.
Method 1: Only watermarking was used for authenticity of
users.
In the initial phase of the security systemonlywatermarking
was used to check the authenticity of user. A watermark text
or image is embedded into the original image and send it to
the receiver. Once the receiver receives the image he/she
retrieves the image and extract the watermark embedded
into the system. If the watermark received is same as the
watermark of the sender than the image is verified.
Method 2: Only steganography was used for hiding the
original image.
After the use to watermarking, there wasanissuewhichwas
still not reduced by the system. By watermarking
authenticity is proved but the original imagecanmeexposed
to the intruder which makes easier for the hacker to see the
original message which is sent by the sender.

Method 3: Combined system with both steganography and
watermarking.
This dual system helps to overcome the above two methods
but now a day’s many high level intruders have different
techniques to hack the image or the text transmitted. Again
this system lacks in some of the fields. Even after the LSB
method used with this system, the data isstill notcompletely
secured.
5. PROPOSED METHODOLOGY
Our proposed methodology will try to overcome the
problems which encountered in past system and make a
secure system for the transmission of data with the use of
steganography, watermarking, encryption and image bit
embedding for more secure transmission.
Proposed Algorithm
Sender Side Algorithm
1. The INPUT IMAGE is selected, which is to be transmitted.
2. Embed another image as WATERMARK IMAGE into the
INPUT IMAGE.
3. Insert TEXT into the WATERMARKED IMAGE for more
enhance security.
4. Now encrypt the RESULTANT IMAGE obtained after
watermarking using RSA algorithm.
5. Hide the ENCRYPTED IMAGE obtained in step 4 into a
carrier image using Steganography.
6. Display the result in the form of “STEGO” image.
Receiver Side Algorithm
1. Select the STEGO image obtained after the sender’s
process.
2. Extract the hidden encrypted image from the STEGO
image.
3. Decrypt the IMAGE using RSA algorithm.
4. Extract the WATERMARK IMAGE and the WATERMARK
TEXT which proves the authenticity of the sender.
5. Generate the original image which sender has sent.
6. Display the RESULT.
Comparison Parameters
Peak Signal to Noise Ratio
Mean Square Error
6. IMPLEMENTATION AND RESULTS
The implementation of this project is done using Matlab and
Visual Studio 2008. Five input images are taken of different
dimension and size and performed our analysis.
Table -1: PSNR and MSE of different Images
S.N IMAGE DIMENSION
WATERMARKED
IMAGE WITH NOISE
WATERMARKED
IMAGE WITH WES
SYSTEM
MSE PSNR MSE PSNR
Input-
1
300*300 (37kb) 0.4021 30.6882 0.4549 38.8745
Input-
2
450*450 (39kb) 0.40392 33.6774 0.39608 45.0502
Input-
3
600*600 (53kb) 0.2549 32.1041 0.23529 46.3572
Input-
4
800*800 (84kb) 0.3594 34.6026 0.34118 49.5581
Input-
5
1000*1000 (747kb) 0.45882 37.1966 0.44812 50.3322
From the above table wehave analyzed that our WES system
is better than normal watermarked system as it gives high
PSNR value than watermarked image with noise extraction.
Chart -1: PSNR Comparison
The above table shows the PSNR value of proposed
Optimized WES system is more better than simple
watermarked image with embedded noise. As by the Matrix
Labs, the higher the PSNR, the better the quality of the
compressed, or reconstructed image.
3. CONCLUSIONS AND FUTURE SCOPE
We proposed a reduced distortion algorithm for enhancing
the image protection. The key idea of the algorithm is using
Watermarking, Encryption and Steganography which helps
the system to more secure the image transmission. The
improvement in presence of additive noise is very much
obvious, as the proposed algorithm obtains significantly

lower bit error. The steganalysis of the proposed algorithm
is more challenging, because there is a significant numberof
bits flipped for the data hiding.
A secured LSB technique for Image steganography has been
implemented in this project. This technique utilizes cover
image files in spatial domain to overcome the presence of
sensitive data. Performance analysis of the proposed
technique is very much encouraging. Many othertechniques
are being proposed and some are very much effective also.
But our proposed algorithm gives all the three parameters
which are required for a secure transmission. It gives
Security in terms of encryption, Authenticity in terms of
watermarking and Data Hiding in terms of steganography.
The future work can be done with other algorithms which
are more secure and unaffected from attacks for the
encryption of image and also time required forencryptionof
data.
REFERENCES
[1] Ruchika Patel, Parth Bhatt,”A review paper on Digital
Watermarking and its techniques”, International Journal of
Computer Application, Vol. 110-No.1, Jan 2015.
[2] Hend A. Elsayed,”Image Security Using Quantum RSA
Cryptosystem Algorithm And Digital Watermarking”, 2016
Progress in Electromagnetic research symposium (PIERS),
Shanghai, China, 8-11 August, IEEE 2016.
[3] Shavata Mahajan, Arpinder Singh,”A Review ofmethod&
approach for secure Steganography, International Journal of
Advanced Research in Computer Science and Software
Technology, Vol 2, Issue 10, Oct 2012.
[4] Young Chang Hou, “Visual Cryptography for color
images.” Pattern Recognition 36 (2003), IEEE 2003.
[5] Shyamalendu Kumar, Arnab Maiti,”Visual cryptography
scheme for color images using random number generator
with enveloping by digital watermarking” International
Journal of Computer Science Issues, Vol 8, Issue 3,No.1,may
2011.
[6] J. Fridrich, R. Du, and L, Meng, Steganalysis of LSB
Encoding in Color Images, in Proceedings of ICME 2000, Jul.-
Aug. 2000, N.Y., USA.
[7] Fillatre. L, Designing of Robust Image Steganography
Technique Based on LSB Insertion and Encryption, IEEE
Transactions on Signal Processing, Volume 60, Issue:2, pp.
556-569, Feb, 2012
[8] Masud K. S.M. Rahman, Hossain, M.L.,Anewapproachfor
LSB based image steganography using secret key, in
Proceedings of 14th International Conference on Computer
and InformationTechnology (ICCIT-2011),pp.-286-291, Dec.
2011.
[9] Hema Ajetrao, Dr. P.J.Kulkarni and Navanath Gaikwad, A
Novel Scheme of Data Hiding in Binary Images, in
International Conference on Computational Intelligenceand
Multimedia Applications, Vol.4, pp. 70-77, Dec. 2007.
[10] Sachdeva S. and Kumar A, Colour Image Steganography
Based on Modified Quantization Table, in Proceedings of
Second International Conference on Advanced Computing&
Communication Technologies (ACCT-2012), pp. 309-313,
2012.

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